Top Engineering Jobs in Mumbai

Lead Supabase’s Billing engineering team, overseeing people management, hiring, roadmap delivery, technical direction, partnerships, and incident response. Own systems covering subscriptions, usage-based billing, invoices, payments, taxation, entitlements, collections, and provider integrations. Build a healthy remote team, ensure predictable delivery, improve reliability and operational maturity, and coordinate with Product, Finance, Data, Support, Sales, and Partnerships on revenue-critical initiatives.

Prepare and update detailed electrical drawings for EHV AIS/GIS substations up to 400 kV/765 kV, including layouts, SLDs, protection and control schematics, cable routing, earthing, and lightning protection drawings. Interpret engineering inputs, equipment layouts, specifications, and markups; incorporate revisions and field changes; produce as-built documentation; prepare preliminary designs and BoMs for bids; and coordinate with engineering, construction, consultants, EPCs, vendors, and site teams.

Lead engineering for complex, highly scalable software systems. Responsibilities include architecting reliable applications, developing product and technology roadmaps, establishing development best practices, managing Agile delivery with cross-functional stakeholders, and mentoring, evaluating, hiring, and growing engineering teams. The role also focuses on performance, production reliability, continuous improvement, and scaling systems and the organization.

Design and scale data infrastructure for agentic AI, including RAG pipelines, vector databases, semantic layers, knowledge graphs, and automated data-quality guardrails. Build and maintain data pipelines, ETL processes, and CI/CD infrastructure while resolving source-data issues and protecting against noise, bias, and PII. The role also requires expertise with ELK, Python, relational and NoSQL databases, data modeling, and collaboration with technical and business stakeholders.

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Leads quality engineering for consumer-facing web and mobile experiences. Designs scalable automation frameworks, develops functional, API, integration, regression, and end-to-end test suites, and integrates quality gates into CI/CD pipelines. Validates accessibility, performance, reliability, and cross-device behavior; investigates defects, analyzes quality metrics, and drives continuous improvement. Collaborates with product and engineering teams, mentors engineers, and applies AI-assisted testing practices.

Design, build, optimize, and support scalable consumer-facing mobile applications across iOS and Android using React Native, TypeScript, and JavaScript. Develop native integrations, reusable components, secure architectures, API integrations, automated testing, CI/CD pipelines, and production monitoring. Collaborate cross-functionally, contribute to releases and Agile delivery, mentor engineers, conduct code reviews, and drive mobile engineering excellence, accessibility, performance, and reliability.

Leads Twilio Segment’s data platform and pipeline engineering team, building high-scale ingestion, routing, and distributed data-processing systems. Responsibilities include architecting reliable cloud systems, guiding technical decisions, improving cost and performance, mentoring engineers, driving agile and automation practices, and translating technical strategy for stakeholders. The role requires managing software teams, overseeing multiple workstreams, and maintaining operational excellence across highly available systems processing large volumes of data.

Lead software development for complex, scalable products using Python, AI/LLM tools, RAG pipelines, AWS, and Microsoft SQL Server. Responsibilities include designing, enhancing, and troubleshooting software; resolving customer issues; contributing to planning and estimation; developing reusable components; sharing technical knowledge; mentoring colleagues; and collaborating across teams while applying Agile, Scrum, and security engineering practices.

Lead and mentor a full-stack engineering team while defining technical strategy, architecture, and roadmap for MERN platforms. Drive scalable system design, coding and testing standards, CI/CD, deployments, observability, cloud infrastructure optimization, security, and technical debt management. Partner with Product, Design, and Business teams, track delivery metrics, recruit talent, and foster engineering excellence in a high-growth startup environment.

Support procurement and sourcing for robotic hardware by converting purchase requests into purchase orders, identifying suppliers, onboarding vendors, tracking deliveries, coordinating quality corrective actions and logistics, assisting with customs and invoices, and supporting cost analysis, negotiations, and supplier evaluations.

Owns data quality and reliability for data engineering projects by defining testing strategies, building scalable automation frameworks, validating pipelines and analytical platforms, and managing release readiness. The role covers backend and pipeline testing, data integrity, ETL/ELT validation, AI-augmented test development, governance, code reviews, and reducing manual testing. It requires close collaboration with data engineering, product, and data science teams.

Lead a team responsible for the organization’s centralized data architecture, databases, integrations, automation workflows, data pipelines, reporting, and AI-assisted systems. Design scalable data models, optimize SQL, build reliable pipelines using Python and orchestration tools, integrate platforms through APIs, and create trusted dashboards and KPIs. Own system reliability, documentation, monitoring, and continuous improvement while translating business needs into scalable technical solutions and mentoring team members.

Owns technical direction for enterprise agentic AI solutions across application, cloud, data, and AI layers. Leads architecture decisions, deployment standards, security reviews, reusable infrastructure, CI/CD practices, and production monitoring. Mentors Forward Deployed Engineers toward independent delivery, guides design and code reviews, prototypes high-risk components, and resolves critical blockers. The role emphasizes technical leadership, scalable deployment capability, cloud cost discipline, agent evaluation, guardrails, and operational reliability rather than sustained feature development.

As a Backend Engineer, you'll design scalable systems for live sports video streaming. Responsibilities include improving software reliability, developing APIs, and collaborating with cross-functional teams.

The Engineering Manager will lead web platform teams, ensuring alignment with strategic goals and promoting modern development practices while emphasizing team empowerment and high performance.

Build and guide modern Java and Spring Boot services using microservices, distributed systems, APIs, Kafka, and event-driven architecture. Develop Angular interfaces with component-driven UI design and modern frontend tooling. Apply OpenAPI, OAuth2/JWT, and gateway patterns, while supporting cloud infrastructure, Kubernetes, containerization, observability, reliability engineering, incident response, and performance tuning. Blockchain knowledge is a plus.

Lead product strategy and development for data management solutions in life sciences, ensuring market relevance and user satisfaction while managing lifecycle and stakeholder alignment.

Responsible for maintenance and fault diagnosis of equipment, ensuring safety standards, and managing routine inspections and breakdowns. Supervises repair areas, tracks jobs, and manages preventive maintenance tasks and documentation.

The Senior Tableau Consultant focuses on data visualization development, project management, mentoring, and supporting business requirements using Tableau. Responsibilities include dashboard architecture, user configuration, and training.

Build and mature DevOps automation processes and infrastructure. Own the GitLab foundation, including repository standards, CI/CD pipelines, testing, releases, and deployment coordination. Maintain automation and orchestration platforms, define cloud, virtualized, and physical infrastructure requirements, and establish safe AI-assisted automation policies. Partner with security, risk, systems, NOC, and business teams on requirements and deployment. The role requires Python, AWS, Ansible, Terraform, Docker, network automation, and release management expertise.

Manage full-cycle engineering recruiting, including sourcing, screening, interviewing, candidate evaluation, presentation, offer coordination, and client relationship management. Advise hiring managers on recruitment strategies, market conditions, compliance, and candidate selection. Maintain talent pipelines, coordinate interviews, manage candidate experiences, track performance metrics, and mentor junior recruiting professionals.

Leads the DTC Platform Engineering organization, overseeing cloud foundations, DevOps, CI/CD, Kubernetes, integrations, quality engineering, performance, security, developer tooling, and AI-enabled engineering platforms. Defines multi-year platform strategy, infrastructure and security standards, self-service capabilities, and delivery governance. Partners with product engineering, security, finance, and infrastructure teams while building and mentoring multidisciplinary engineering teams focused on scalable, secure, reliable, and cost-efficient software delivery.

Lead the architecture, delivery, and engineering execution of AI and automation products. Manage and mentor software engineers, establish engineering standards, build full-stack applications and AI integrations, design PostgreSQL schemas, implement secure multi-tenant systems, develop automation workflows and evaluation harnesses, and ensure observability, testing, data validation, and reliable third-party API integrations.